NMIMS BBA – B.Com Research Methodology Solved Answer Assignment

Research Methodology

NMIMS BBA – B.Com Research Methodology Solved Answer Assignment

Q1. Develop the questionnaire for the following problem.

Imagine you being a researcher; want to carry out research study on ‘motives of using LinkedIn in city of Mumbai’

For the above-mentioned research topic develop a questionnaire by keeping scaled-response-questions for the motives. (10 marks)

ANS:

Introduction

The development of personal branding and thought leadership is the primary objective of users in Mumbai who participate in LinkedIn activities. LinkedIn is a platform that allows many professionals in Mumbai to communicate their views and ideas on various subjects relevant to their field. They can amass a following and establish themselves as authorities in their industry if they produce and distribute valuable content to others.

Concepts and Applications

LinkedIn has quickly become one of the most well-known platforms for professional networking worldwide, especially in Mumbai. There are various reasons why people in Mumbai use LinkedIn and professionals in a wide range of fields use this network to advance their careers and meet their professional objectives. First and foremost, LinkedIn is a venue through which individuals looking for work may exhibit their qualifications and network with prospective employers. Many people looking for jobs in Mumbai, a center for many industries, including banking, media, and entertainment, use LinkedIn to research potential employers and expand their professional networks.

Conclusion

In conclusion, professionals in Mumbai can achieve their professional goals and develop a robust professional network through the use of LinkedIn, which has become a vital tool in recent years.

NMIMS BBA – B.Com Research Methodology Solved Answer Assignment

Q2. Write the hypothesis visible in the following model. Also identify one Independent, one dependent variable and one Intervening variables.

Model: on Facebook users

ANS:

Introduction

Facebook is one of the most widely used social networking sites, boasting a user base in the billions. These users are not merely recipients of content; they are active players who produce their content, share it with others, and engage in conversation with others. Because of this, researchers, marketers, and other professionals interested in understanding human behavior, communication, and preferences can benefit significantly from using them as a source of information.

Concepts and Applications

Facebook has become an integral part of modern culture. As of December 2020, over 2.8 billion people will actively use Facebook monthly. Therefore, it is of the utmost importance for social media academics and marketers alike to understand the elements that influence the behavior of Facebook users. The Technology Acceptance Model (TAM) is a well-liked approach to studying technology adoption. This model postulates that users’ perceptions of the usefulness of technology are influenced by external variables such as social influence and facilitating conditions.

Conclusion

In conclusion, a study published in Science discovered that studying people’s likes on Facebook may predict their personality traits with startling accuracy. The prediction was based on preference patterns connected with specific attributes. Another topic that researchers are interested in is the process through which Facebook users create and retain their social relationships.

NMIMS BBA – B.Com Research Methodology Solved Answer Assignment

Q3 A. Perform the Chi-square test for the following problem. You are advised to use EXCEL; procedure calculate the expected frequency in excel and use the formula for chi-square test. Write your conclusion also.

ANS:

Introduction

Under the assumption that the null hypothesis of independence between gender and opinion is correct, the p-value is the likelihood of receiving a test statistic that is either just as extreme or even more extreme than the one observed. We used Excel to arrive at the Chi-square test statistic 1 with 2 degrees of freedom after calculating the expected frequencies.

Concepts and Applications

The presented problem statement includes a breakdown of the perspectives of males and females about a banking application. We will conduct a Chi-square test to assess whether there is a discernible gap in the views of males and females toward the mobile banking application.

Hypothesis:

There is no significant difference in the perspectives of males and females about the mobile banking application, which is consistent with the Null Hypothesis (H0).

Conclusion

If the p-value is lower than 0.05, we are forced to reject the null hypothesis and come to the conclusion that there is a significant correlation between gender and opinion. This is based on the assumption that the significance level is 0.05. We cannot reject the null hypothesis if the p-value is equal to or greater than 0.05.

NMIMS BBA – B.Com Research Methodology Solved Answer Assignment

Q3 B. Perform the Rank correlation using the following data. (5 marks)

Data: Data.gov.in 

ANS:

Introduction

A statistical tool known as rank correlation is utilized to evaluate the degree of closeness between two variables. In this instance, we will use rank correlation to figure out the nature of the connection between micro- and small-scale businesses in the many districts that make up Uttarakhand.

Concepts and Applications

Before proceeding with this calculation, we need to sort each district’s total number of micro and small-scale businesses according to their respective rankings. After that, we may compute the rank difference between each set of values to determine Spearman’s rank correlation coefficient.

To calculate the Spearman’s rank correlation coefficient, we first calculate the difference between the ranks for each pair of values:

D = Micro-Enterprises Rank – Small-Enterprises Rank

D = 2-3, 1-4, 3-5, 8-8, 5-9, 11-10, 12-11, 13-12, 14-13, 15-14, 16-15, 17-16, 10-17

D = -1, -3, -2, 0, -4, 1, 1, 1, 1, 1, 1, 1, -7

Next, we square these differences:

D^2 = 1, 9, 4, 0, 16, 1, 1, 1, 1, 1, 1, 1, 49

Conclusion

Rank correlation is a statistical measure that quantifies the degree of relationship between two variables based on the rankings of their respective values. It compares the order in which the variables’ values are presented. It is utilized when it is impossible to determine whether the data follow a normal distribution or whether the connection between the variables is nonlinear.